Yan Yu

Yan Yu is an Assistant Professor in the Department of Computational Applied Mathematics at Stony Brook University. Her research focuses on computational fluid dynamics, including the analysis of chaotic flow fields in turbulent mixing, uncertainty quantification, and numerical simulations of fluid interface instabilities such as Rayleigh-Taylor and Richtmyer-Meshkov instabilities. She collaborates with scientists at Los Alamos National Laboratory and Brookhaven National Laboratory and serves as the SPIR coordinator for the department.

Her research interests span computational physics and engineering applications, with recent publications exploring quantum networks, edge computing optimizations, and secure distributed systems. Her work demonstrates strong interdisciplinary connections between fluid dynamics, quantum information science, and network optimization.

Recent publications show a consistent focus on quantum computing infrastructure and network optimization, with emerging interests in federated learning and blockchain technologies. This reflects a research trajectory expanding from fundamental fluid dynamics toward distributed computing paradigms.